To combine two networks in a series manner

2 次查看（过去 30 天）
Shaheer Ansari
Shaheer Ansari 2021-3-25
Dear All,
Greetings of the day
Currently, I am working on the RUL of the battery. I have created an RNN based model. I would wish if anyone can assist me in combining the autoencoder model with my current RNN model so that I can research more with regards to the combination of the two networks. I would be grateful for the assistance in this regard.
Regards
net = layrecnet(1:2,N_node);
net.trainFcn = 'trainlm';
net.trainParam.show = 5;
net.trainParam.lr=lr;
net.trainParam.epochs = 1000;
net.performFcn = 'mse';
net = init(net);
net = train(net,data_train,target_train);
capacity_estimated=(sim(net, data_test))';
capacity_error = gsubtract(target_test',capacity_estimated);
RMSE = rms(capacity_error)*100
MSE=(mean((capacity_estimated-target_test').^2))*100
MAPE=(sum(abs((capacity_estimated-target_test')./(capacity_estimated)))./length(target_test'))*100
MAE=(sum(abs(capacity_estimated-target_test'))./length(target_test'))*100
SD=(std(capacity_estimated-target_test'))*100

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Deep Learning Toolbox 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by